These are papers I've collaborate on which are related to public health surveillance, including applications and statistical methods. (Chronological order)
Lazarus R, Kleinman KP, Dashevsky I, DeMaria A, Platt R. Using automated medical records for rapid identification of illness syndromes (syndromic surveillance): the example of lower respiratory infection. BMC Public Health. 2001;1(1):9.Lazarus R, Kleinman K, Dashevsky I, Adams C, Kludt P, DeMaria A, Platt R. Use of automated ambulatory-care encounter records for detection of acute illness clusters, including potential bioterrorism events. Emerg Infect Dis. 2002;8(8):753-60.
Platt R, Bocchino C, Caldwell B, Harmon R, Kleinman K, Lazarus R, Nelson AF, Nordin JD, Ritzwoller DP. Syndromic surveillance using minimum transfer of identifiable data: the example of the National Bioterrorism Syndromic Surveillance Demonstration Program. J Urban Health. 2003;80(S1):i25-31.
Yih WK, Caldwell B, Harmon R, Kleinman K, Lazarus R,Nelson A, Nordin J,Rehm B, Richter B, Ritzwoller D, Sherwood E, Platt R. The National Bioterrorism Syndromic Surveillance Demonstration Program. Morbidity and Mortality Weekly Report. 2004;53(s):43-46.
Kleinman K, Lazarus R, Platt R. A generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism. Am J Epidemiol. 2004;159(3):217-24.Kleinman K, Lazarus R, Platt R. Kleinman et Al. Respond to "Surveilling Surveillance". Am J Epidemiol. 2004;159(3):228.
Yih WK, Caldwell B, Harmon R, Kleinman K, Lazarus R, Nelson A, Nordin J, Rehm B, Richter B, Ritzwoller D, Sherwood E, Platt R. The National Bioterrorism Syndromic Surveillance Demonstration Program. In: Syndromic Surveillance: Reports from a National Conference, 2003. Morbidity and Mortality Weekly Report 2004;53 (suppl):43-46.Kleinman KP, Abrams AM, Kulldorff M, Platt R. A model-adjusted space-time scan statistic with an application to syndromic surveillance. Epidemiology and Infection 2005 119: 409-419.
Brownstein J, Kleinman K, Mandl K. Identifying pediatric age groups for influenza vaccination using a regional surveillance system. American Journal of Epidemiology 2005 162:1-8.
Ritzwoller DP, Kleinman K, Palen TE, Abrams A, Kaferly J, Yih WK, Platt R. Comparison of syndromic surveillance and a sentinel provider system in detecting the 2003 Denver influenza outbreak. Morbidity and Mortality Weekly Report 2005 54 (supp.):151-156.
Yih WK, Abrams A, Danila RN, Green KL, Kleinman K, Kulldorff M, Miller BD, Nordin JD, Platt R. Ambulatory care diagnoses as potential indicators of outbreaks of gastrointestinal illness in Minnesota. Morbidity and Mortality Weekly Report 2005 54 (supp.):157-162.
Nordin JD, Goodman MJ, Kulldorff M, Ritzwoller DP, Abrams AM, Kleinman K, Levitt MJ, Donohue J, Platt R. Simulated anthrax attacks and syndromic surveillance. Emerging Infectious Diseases 2005; 11:1394-1398.Kleinman KP, Abrams AM, Mandl KD, Platt R. Simulation for assessing statistical methods of bioterrorism surveillance. Morbidity and Mortality Weekly Report 2005 54 (supp.):101-108.
Kleinman K, Abrams A, Yih WK, Platt R, Kulldorff M. Evaluating spatial surveillance: detection of known outbreaks in real data. Statistics in Medicine 2006; 25:755-769.
Kleinman KP, Abrams A. Assessing the utility of public health surveillance using specificity, sensitivity, and lives saved. Statistical Methods in Medical Research 2006;15:445-464.Abrams AM and Kleinman KP. A SaTScan Macro Accessory for Cartography (SMAC) package implemented with SAS software. International Journal of Health Geographics 2007; 6:6 (http://www.ij-healthgeographics.com/content/6/1/6)
Kulldorff M, Mostashari F, Duczmal L, Yih WK, Kleinman K, Platt R. Multivariate scan statistics for disease surveillance. Statistics in Medicine 2007;26:1824-1833Mohtashemi M, Kleinman KP, Yih WK. Multi-syndrome Analysis of Time Series using PCA: A New Concept for Outbreak Investigation. Statistics in Medicine 2007; 26:5203-5224
Kleinman KP, Oken E, Radesky JS, Rich-Edwards JW, Peterson KE, Gillman M. How should pregnancy weight gain be assessed? A comparison of existing methods and a novel method, area under the weight gain curve. [With commentary] International Journal of Epidemiology 2007; 36:1275-1282
Kleinman KP, Abrams AM. Assessing the utility of public health surveillance using specificity, sensitivity, and lives saved. Statistics in Medicine 2008; 27:4057-4068Yih WK, Teates KS, Abrams A, Kleinman K, Kulldorff M, Pinner R, Harmon R, Wang S, Platt R. Telephone triage service data for detection of influenza-like illness. PLoS ONE 4(4): e5260. doi:10.1371/journal.pone.0005260
Jung I, Kulldorff M, Kleinman KP, Yih WK, Platt R. Using encounters versus episodes in syndromic surveillance. Journal of Public Health 2009; 31:566-572
McBrien KA, Kleinman KP, Abrams AM, Prosser LA. Use of outcomes to evaluate surveillance systems for bioterrorist attacks. BMC Medical Informatics and Decision Making 2010, 10:25 doi:10.1186/1472-6947-10-25 http://www.biomedcentral.com/
Greene SK, Kulldorff M, Huang J, Brand RJ, Kleinman KP, Hsu J, Platt R. Timely detection of localized excess influenza activity in northern California across patient care, prescription, and laboratory data. Statistics in Medicine 2011;30(5):549-559.
